Flooded Fields, Fading Harvests: Analyzing the Impact of Excessive Precipitation on Corn Yield and Regional Production in Negros Occidental
Keywords:
Corn Yield, Excessive Precipitation on Corn Yield, Mathematical ComputationAbstract
Corn plays a vital role in the agricultural and economic landscape of Negros Occidental, serving as both a staple food and a key input for livestock feed. However, increasing rainfall variability due to climate change has raised concerns about its productivity and long-term sustainability. Excessive precipitation often leads to water logging, nutrient loss, delayed growth, increased susceptibility to diseases, and reduced yields. Recent events, such as intensified monsoon rains and storms, have highlighted the vulnerability of corn production in the province, resulting in significant losses and food security challenges. This study investigates the effects of excessive rainfall on corn yield in Negros Occidental through quantitative and computational modeling. Using rainfall and production data, a predictive equation was applied to assess yield declines under conditions of high precipitation. The model, which integrates precipitation levels with crop water requirements during critical growth stages, revealed a sharp production decline from 41.4% in 2023 to 31.62% in 2024, primarily due to excessive rainfall and waterlogged fields. These results underscore the direct relationship between climate variability and agricultural productivity, confirming that surplus rainfall significantly disrupts corn growth and harvest outcomes. The findings highlight the urgent need for adaptive strategies and improved management practices to mitigate precipitation-induced crop losses. By providing evidence-based insights, the study supports agricultural planners and farmers in making informed decisions to enhance resilience against climate stressors. Ultimately, this research contributes to safeguarding food security and sustaining corn-based livelihoods in Negros Occidental amid changing climatic conditions.
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